Github Models Api Now Available

Leo Migdal
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github models api now available

You can now use the GitHub Models REST API to programmatically explore and run inference with models hosted on GitHub. This includes: These endpoints support streaming and non-streaming completions, as well as advanced options like temperature, stop sequences, and deterministic sampling via seed. Check out the Models API reference docs to get started, or join the conversation in community discussions. Use the REST API to get a list of models available for use, including details like ID, supported input/output modalities, and rate limits. You can use the REST API to explore available models in the GitHub Models catalog.

Get a list of models available for use, including details like supported input/output modalities, publisher, and rate limits. Find and experiment with AI models for free. GitHub Models is a suite of developer tools that take you from AI idea to ship, including a model catalog, prompt management, and quantitative evaluations. Run your first model with GitHub Models in minutes. GitHub Models helps you go from prompt to production by testing, comparing, evaluating, and integrating AI directly in your repository. Manage GitHub Models in your enterprise and organizations.

GitHub Models has entered public preview! GitHub Models provides every GitHub developer with access to top AI models via a playground, API, and more. Since the announcement of GitHub Models almost three months ago, we’ve shipped a number of enhancements and new models. To learn more about GitHub Models, check out the docs. Join our dedicated Community Discussions to discuss this update, swap tips, and share feedback. Run your first model with GitHub Models in minutes.

GitHub Models is an AI inference API from GitHub that lets you run AI models using just your GitHub credentials. You can choose from many different models—including from OpenAI, Meta, and DeepSeek—and use them in scripts, apps, or even GitHub Actions, with no separate authentication process. This guide helps you try out models quickly in the playground, then shows you how to run your first model via API or workflow. Go to https://github.com/marketplace/models. In the playground, select at least one model from the dropdown menu. Tools from the community and partners to simplify tasks and automate processes

A 398B parameters (94B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation. State-of-the-art open-weight reasoning model. First small multimodal model to have 3 modality inputs (text, audio, image), excelling in quality and efficiency A 398B parameters (94B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation. GitHub Models helps you go from prompt to production by testing, comparing, evaluating, and integrating AI directly in your repository. The GitHub Models provider for the AI SDK gives you access to the GitHub Models catalog of large language models, designed for building modern web applications.

GitHub Models has support for multiple model families, like xAI, OpenAI and Meta. GitHub Models is currently in pre-release and subject to GitHub Pre-release License Terms. To learn more about integrating GitHub Models into your projects, visit the GitHub Models documentation. The GitHub Models provider is available in the @github/models NPM package. You can install it with: To get started, you'll need a GitHub PAT (personal access token).

A Python application to interact with the GitHub Models API, demonstrating how to list available models. GitHub Models is a recent service (announced in May 2025) that allows developers to access and experiment with AI models. The official GitHub Models API endpoints use the domain models.github.ai. According to the official documentation and our working implementation, the GitHub Models API uses these endpoints: This implementation is based on the following official GitHub documentation and announcements: Set up a virtual environment (recommended):

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